Industry 4.0
Transform connected industry while protecting intellectual property and data confidentiality
Use Cases
Collaborative Predictive Maintenance
Optimize operations across production plants without sharing sensitive internal information.
Supply Chain Optimization
Improve efficiency across the entire logistics network while preserving each participant’s data privacy.
AI-Driven Product Quality
Detect production defects using AI models trained on distributed data with no risk of IP leakage.
Collaborative Development Among Manufacturers
Accelerate innovation through joint learning without disclosing proprietary data.
Aerospace Predictive Maintenance with Privacy and Energy Efficiency
This study demonstrates how Sherpa.ai applies Federated Learning to predict aircraft engine failures without transferring sensitive data. Using a NASA turbine dataset, the approach enhances predictive accuracy while minimizing energy consumption and bandwidth usage—meeting the demanding requirements of the aerospace sector.
